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Lead Principal Core Infrastructure Engineer

Oracle
Bengaluru, IND
Full-time
Lead · 10+ years experience
Onsite
Discovered Today
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Full Job Posting

Responsibilities

  • Define technical strategy and architecture for scalable routing, network control, and automation systems.
  • Design algorithms and distributed services for route computation, congestion management, traffic steering, fault isolation, and recovery.
  • Correlate network and infrastructure signals to assess customer impact and enable safe automated responses.
  • Identify performance bottlenecks and optimize capacity, resource utilization, routing convergence, and behavior under heavy load.
  • Architect and build highly available, fault-tolerant systems with reliable state management, replication, automated failover, and recovery.
  • Define service-level objectives, operational KPIs, telemetry, monitoring, and alerting for service health and routing outcomes.
  • Establish simulation, scale testing, phased migrations, in-service upgrades, verification, and rollback practices.
  • Lead production troubleshooting, incident response, and root-cause analysis; establish runbooks and drive reliability improvements.
  • Integrate security controls, auditability, infrastructure as code, and automated deployment, patching, and lifecycle management.
  • Contribute production-quality code, review designs and implementations, and maintain architecture and operational documentation.
  • Partner with cross-functional engineering, product, and business stakeholders to define technical strategy and deliver high-impact initiatives.
  • Mentor senior engineers, influence architectural direction, and promote engineering excellence through technical leadership, hiring, and knowledge sharing.

Required Qualifications

  • Bachelor’s or master’s degree in computer science, engineering, or a related discipline, or equivalent practical experience.
  • 10+ years of relevant experience building and operating large-scale distributed systems, network control planes, or network automation platforms.
  • Strong Linux systems and networking knowledge, including containers, process and memory behavior, network namespaces, resource isolation, and packet-level troubleshooting.
  • Experience designing highly available distributed services with reliable state management, observability, overload protection, and failure recovery.
  • Demonstrated ability to lead architecture and delivery across teams, resolve ambiguous requirements, communicate technical trade-offs, and mentor senior engineers.
  • Deep knowledge of L2/L3 networking, routing and switching, software-defined networking, traffic engineering, and WAN technologies.
  • Strong expertise in BGP and MP-BGP, IPv4/IPv6, route reflection, routing policy, and VPN address families, including practical experience with convergence and reachability troubleshooting.
  • Strong programming skills in one or more languages such as Go, Python, Java, or C++, with experience in API design, concurrency, automated testing, and production debugging.

Preferred Qualifications

  • Production expertise with Junos and Juniper cRPD or comparable virtualized routing platforms.
  • Experience with BGP Add-Path, Optimal Route Reflection (ORR), Prefix Independent Convergence (BGP-PIC), route-flap damping, and large-scale routing tables.
  • Knowledge of MPLS, RSVP-TE, PCEP, bandwidth reservation, latency-aware routing, and shared-risk link groups.
  • Experience with NETCONF, Junos XML APIs, gRPC, OpenConfig, and model-driven network automation.
  • Experience tuning containerized networking workloads, including cgroups, socket buffers, veth, and SR-IOV.
  • Experience with infrastructure as code, automated lifecycle orchestration, and rolling upgrades for stateful services.
  • Understanding of Clos fabrics, overlay/underlay integration, ECMP behavior, and backbone transit.
  • Experience building distributed active measurement and telemetry systems.
  • Experience with simulation, failure injection, or formal methods to validate complex distributed-system behavior.
  • Experience applying traffic prediction, machine learning, or AI techniques to network optimization, anomaly detection, or operational intelligence.

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